nach oben

Engineering with Computers

Erschienen in:

04.02.2020 | Original Article

Optimal design of large-scale frames with an advanced charged system search algorithm using box-shaped sections

verfasst von: A. Kaveh, N. Khodadadi, B. Farahamand Azar, S. Talatahari

Erschienen in: Engineering with Computers | Ausgabe 4/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In the present article, an advanced charged system search (ACSS) algorithm is designed for optimizing the large-scale frame structures using box-shaped sections for columns. The proposed ACSS is an extended version of the charged system search (CSS) which is a metaheuristic algorithm that uses the electrostatics and Newtonian laws of mechanics under the conditions of the Coulomb law. Two large-scale 3D frames with 1026 and 1935 components are optimized using AISC-LRFD to show the efficiency of using the box-shaped sections. Overall performance of the ACSS algorithm with box-shaped sections is compared to those of the upper bound strategy for integrated versions of the standard Big Bang Big Church algorithm and two of its newly developed variants. The results show the successful performance of using steel box-shaped columns in comparison to the frames with I-shaped sections. The numerical results show that the ACSS is efficient and robust compared to its standard version.

Vorheriger Artikel An integrated method for evaluating and predicting long-term operation safety of concrete dams considering lag effect

Nächster Artikel A new model-dependent time integration scheme with effective numerical damping for dynamic analysis

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Kaveh A (2017) Advances in metaheuristic algorithms for optimal design of structures, 2nd edn. Springer International Publishing, SwitzerlandCrossRef

Goldberg DE, Samtani MP (1986) Engineering optimization via genetic algorithm. In: Proceedings of the ninth conference on electronic computation, ASCE, pp 471–482

Kennedy J, Eberhart R (1995) Particle swarm optimization. In: IEEE international conference on neural networks. https://doi.org/10.1109/ICNN.1995.488968

Colorni A, Dorigo M, Maniezzo V (1991) Distributed optimization by ant colonies. In: Varela F, Bourgine P (eds) Proceedings of the first european conference on artificial life, ECAL’91, Elsevier Publishing, Amsterdam, Paris, pp 134–142

Lee KS, Geem ZW (2004) A new structural optimization method based on the harmony search algorithm. Comput Struct 82:781–798. https://doi.org/10.1016/j.compstruc.2004.01.002CrossRef

Saka MP, Geem ZW (2013) Mathematical and metaheuristic applications in design optimization of steel frame structures: an extensive review. Math Probl Eng 2013:1–33. https://doi.org/10.1155/2013/271031CrossRefMATH

Balling RJ (1991) Optimal steel frame design by simulated annealing. J Struct Eng 6:1780–1795. https://doi.org/10.1061/(ASCE)0733-9445(1991)117:6(1780)CrossRef

Rajeev S, Krishnamoorthy CS (1992) Discrete optimization of structures using genetic algorithms. J Struct Eng 118:1233–1250. https://doi.org/10.1061/(ASCE)0733-9445(1992)118:5(1233)CrossRef

Saka MP (2009) Optimum design of steel sway frames to BS5950 using the harmony search algorithm. J Constr Steel Res 65:36–43. https://doi.org/10.1016/j.jcsr.2008.02.005CrossRef

10.

Camp CV, Bichon BJ, Stovall SP (2004) Design of steel frames using ant colony optimization. J Struct Eng 131:369–379. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:3(369)CrossRef

11.

Perez RE, Behdinan K (2007) Particle swarm approach for structural design optimization. Comput Struct 85:1579–1588. https://doi.org/10.1016/j.compstruc.2006.10.013CrossRef

12.

Kaveh A, Talatahari S (2012) Charged system search for optimal design of frame structures. Appl Soft Comput 12:382–393. https://doi.org/10.1016/j.asoc.2011.08.034CrossRef

13.

Kaveh A, Ilchi Ghazan M (2015) A comparative study of CBO and ECBO for optimal design of skeletal structure. Asian J Civil Eng 11:103–122. https://doi.org/10.1016/j.compstruc.2015.02.028CrossRef

14.

Kaveh A, Zakian P (2018) Improved GWO algorithm for optimal design of truss structures. Eng Comput 34:685–707. https://doi.org/10.1007/s00366-017-0567-1CrossRef

15.

Kaveh A, Mahjoubi S (2019) Hypotrochoid spiral optimization approach for sizing and layout optimization of truss structures with multiple frequency constraints. Eng Comput 35:1443–1462. https://doi.org/10.1007/s00366-018-0675-6CrossRef

16.

Kaveh A, Talatahari S, Khodadadi N (2019) The hybrid invasive weed optimization-shuffled frog-leaping algorithm applied to optimal design of frame structures. Periodica Polytechnica Civil Eng 63:882–897. https://doi.org/10.3311/PPci.14576CrossRef

17.

Ok Erol, Eskin I (2009) New optimization method: big bang–big crunch. Adv Eng Softw 7:106–111. https://doi.org/10.1016/j.advengsoft.2005.04.005CrossRef

18.

Tang H, Zhou J, Xue S, Xie L (2010) Big bang-big crunch optimization for parameter estimation in structural systems. Mech Syst Signal Process 24:2888–2897. https://doi.org/10.1016/j.ymssp.2010.03.012CrossRef

19.

Camp CV (2007) Design of space trusses using big bang–big crunch optimization. J Struct Eng 133:999–1008. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:7(999)CrossRef

20.

Kaveh A, Abbasgholiha H (2011) Optimum design of steel sway frames using big bang-big crunch algorithm. Asian J Civil Eng 12:293–317

21.

Kazemzadeh Azad S, Hasançebi O, Erol OK (2011) Evaluating efficiency of big bang-big crunch algorithm in benchmark engineering optimization problems. Int J Optim Civil Eng 1:495–505. http://ijoce.iust.ac.ir/article-1-53-en.pdf

22.

Kaveh A, Talatahari S (2010) A novel heuristic optimization method: charged system search. Acta Mech 213:267–286. https://doi.org/10.1007/s00707-012-0745-6CrossRefMATH

23.

Kaveh A, Zakian P (2013) Optimal design of steel frames under seismic loading using two meta-heuristic algorithms. J Constr Steel Res 82:111–130. https://doi.org/10.1016/j.jcsr.2012.12.003CrossRef

24.

American Institute of Steel Construction (AISC) (2001) Manual of steel construction load resistance factor design. 3rd Edn, Chicago. ISBN-10: 1564240517

25.

Kaveh A, Azar BF, Hadidi A, Sorochi FR, Talatahari S (2010) Performance-based seismic design of steel frames using ant colony optimization. J Constr Steel Res 66:566–574. https://doi.org/10.1016/j.jcsr.2009.11.006CrossRef

26.

McGuire W (1968) Steel structures. Prentice Hall, Englewood Cliffs

27.

Zakian P, Kaveh A (2018) Economic dispatch of power systems using an adaptive charged System. Appl Soft Comput 73:607–622. https://doi.org/10.1016/j.asoc.2018.09.008CrossRef

28.

Tizhoosh HR, Ventresca M, Rahnamayan SH (2008) Opposition-based computing. In: Tizhoosh HR, Ventresca M (eds) Oppositional concepts in computational intelligence. Studies in Computational Intelligence, vol 155. Springer, Berlin, pp 11–28. https://doi.org/10.1007/978-3-540-70829-2_2CrossRefMATH

29.

Barisal AK, Prusty RC (2015) Large scale economic dispatch of power systems using oppositional invasive weed optimization. Appl Soft Comput 29:122–137. https://doi.org/10.1016/j.asoc.2014.12.014CrossRef

30.

Kaveh A, Talataharai S (2011) An enhanced charged system search for configuration optimization using the concept of fields of forces. Struct Multidiscip Optim 43:339–351. https://doi.org/10.1007/s00158-010-0571-1CrossRef

31.

Haklı H, Uğuz H (2014) A novel particle swarm optimization algorithm with Levy flight. Appl Soft Comput 23:333–345. https://doi.org/10.1016/j.asoc.2014.06.034CrossRef

32.

Kazemzadeh Azad S, Hasançebi O, Kazemzadeh Azad S (2013) Upper bound strategy for metaheuristic based design optimization of steel frames. Adv Eng Softw 57:19–32. https://doi.org/10.1016/j.advengsoft.2012.11.016CrossRef

Titel: Optimal design of large-scale frames with an advanced charged system search algorithm using box-shaped sections
verfasst von: A. Kaveh
N. Khodadadi
B. Farahamand Azar
S. Talatahari
Publikationsdatum: 04.02.2020
Verlag: Springer London
Erschienen in: Engineering with Computers / Ausgabe 4/2021
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI: https://doi.org/10.1007/s00366-020-00955-7

Neuer Inhalt

Bildnachweise

VDI-Icon, Profil Icon, inhalt2, Springer Professional Modul/© Springer Fachmedien Wiesbaden GmbH, Nachhaltigkeitsaward Key Visual/© Cometis AG/Global ESG Monitor | Daniel Rupp | Generiert mit KI, Search Icon, Banner Hanser, Frank Urbansky/© Peter Eichler / Leipzig, CO2-Fußabdruck/© Jenny Sturm / stock.adobe.com, Interview Entropie Bild 1/© Bernhard Weßling, Zeitschrift Wissensmanagement Cover, PatentFit-Logo/© Springer Fachmedien Wiesbaden GmbH, Sustainibility Finance/© Robert Kneschke / stock.adobe.com / Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence 2024/© AndreyPopov / Getty Images / iStock, 2023_Antrieb/© supervisuell

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2021

New formulation of the orthonormal Bernoulli polynomials for solving the variable-order time fractional coupled Boussinesq–Burger’s equations

A local meshless method to approximate the time-fractional telegraph equation

Reverse engineering by CAD template fitting: study of a fast and robust template-fitting strategy

A new hybrid chaotic atom search optimization based on tree-seed algorithm and Levy flight for solving optimization problems

Inverse structural damage identification problem in CFRP laminated plates using SFO algorithm based on strain fields

Numerical study of the variable-order fractional version of the nonlinear fourth-order 2D diffusion-wave equation via 2D Chebyshev wavelets

Neuer Inhalt

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.